# southamerica_arge029 - Chapelco San Martin de los Andes - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: # # Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611 # # Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/3876 # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: southamerica_arge029 - Chapelco San Martin de los Andes - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig # Published_Date_or_Year: 2018 # Published_Title: Additions to the last millennium reanalysis multi-proxy database # Journal_Name: Data Science Journal # Volume: # Edition: # Issue: # Pages: # Report_Number: # DOI: # Online_Resource: # Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal. # Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR). The 2290 additional series include 2152 tree ring chronologies and 138 other series. They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation. A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project. The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables. Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods. #------------------ # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Funding_Agency_Name: National Science Foundation # Grant:AGS-1304263 # Funding_Agency_Name: National Oceanic and Atmospheric Administration # Grant:NA14OAR4310176 #------------------ # Site_Information # Site_Name: Chapelco San Martin de los Andes # Location: # Country: Argentina # Northernmost_Latitude: -40.33 # Southernmost_Latitude: -40.33 # Easternmost_Longitude: -71.23 # Westernmost_Longitude: -71.23 # Elevation: 1700 m #-------------------- # Data_Collection # Collection_Name: southamerica_arge029B # Earliest_Year: 1802 # Most_Recent_Year: 1985 # Time_Unit: y_ad # Core_Length: # Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"T", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[-12, 1, 2]"}}{"VSLite_parameters":{"T1":"6.85128687287","T2":"15.6448063473","M1":"0.0221018998018","M2":"0.367167359162"}} #-------------------- # Species # Species_Name: lenga nothofagus # Species_Code: NOPU #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that are preceded by ## in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1802 1.088 1803 1.005 1804 1.204 1805 1.239 1806 1.558 1807 1.344 1808 1.375 1809 1.176 1810 0.591 1811 0.766 1812 0.808 1813 0.689 1814 0.752 1815 0.511 1816 0.996 1817 0.714 1818 0.814 1819 0.955 1820 0.893 1821 0.425 1822 0.283 1823 0.539 1824 0.838 1825 0.847 1826 1.006 1827 1.252 1828 1.047 1829 1.263 1830 1.438 1831 1.091 1832 0.909 1833 0.891 1834 1.124 1835 1.187 1836 1.154 1837 1.005 1838 0.931 1839 1.471 1840 1.034 1841 1.252 1842 1.276 1843 1.175 1844 1.302 1845 1.28 1846 1.616 1847 0.851 1848 0.631 1849 0.529 1850 1.155 1851 0.876 1852 0.941 1853 0.57 1854 0.835 1855 0.985 1856 1.321 1857 1.199 1858 1.05 1859 0.867 1860 0.794 1861 1.2 1862 0.849 1863 1.198 1864 1.169 1865 0.819 1866 0.996 1867 0.802 1868 0.695 1869 0.556 1870 0.4 1871 0.11 1872 0.204 1873 0.85 1874 1.242 1875 1.434 1876 1.611 1877 0.924 1878 0.914 1879 0.273 1880 0.634 1881 0.638 1882 0.867 1883 0.946 1884 1.292 1885 0.601 1886 1.234 1887 1.04 1888 0.918 1889 0.683 1890 1.019 1891 0.495 1892 1.124 1893 0.982 1894 1.364 1895 0.987 1896 0.768 1897 0.62 1898 0.94 1899 0.932 1900 1.474 1901 1.37 1902 0.882 1903 1.463 1904 1.521 1905 1.473 1906 0.994 1907 0.91 1908 1.164 1909 1.027 1910 1.518 1911 1.425 1912 0.769 1913 1.318 1914 0.751 1915 0.711 1916 0.457 1917 1.076 1918 1.525 1919 1.287 1920 1.16 1921 1.213 1922 1.474 1923 0.891 1924 0.987 1925 1.549 1926 1.328 1927 1.157 1928 1.025 1929 0.758 1930 0.564 1931 0.82 1932 1.48 1933 1.344 1934 1.607 1935 1.315 1936 1.292 1937 1.042 1938 0.802 1939 0.562 1940 0.382 1941 0.594 1942 0.872 1943 0.61 1944 0.473 1945 0.667 1946 0.754 1947 0.956 1948 0.989 1949 1.239 1950 0.873 1951 1.213 1952 1.255 1953 1.083 1954 1.212 1955 0.731 1956 1.035 1957 1.143 1958 1.06 1959 1.513 1960 1.178 1961 1.135 1962 0.971 1963 0.81 1964 1.054 1965 0.726 1966 0.807 1967 0.923 1968 0.832 1969 1.139 1970 0.489 1971 0.395 1972 0.951 1973 0.561 1974 0.805 1975 0.702 1976 0.822 1977 0.637 1978 1.089 1979 1.034 1980 0.589 1981 1.275 1982 1.314 1983 1.434 1984 1.062 1985 0.863